Wei Guan

Orcid: 0000-0002-8979-6847

Affiliations:

Shanghai Jiao Tong University, Department of Computer Science and Engineering, China

According to our database¹, Wei Guan authored at least 21 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

2025

GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction.

[BibT_eX]

[DOI]

CoRR, December, 2025

Survey and Benchmark of Anomaly Detection in Business Processes.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2025

FeadSeq: A Personalized Federated Anomaly Detection Framework for Discrete Event Sequences.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2025

Enhancing Graph-based Fraud Detection by Adversarial Confidence Reweighting.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

WAKE: A Weakly Supervised Business Process Anomaly Detection Framework via a Pre-Trained Autoencoder.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2024

GAMA: A multi-graph-based anomaly detection framework for business processes via graph neural networks.

[BibT_eX]

[DOI]

Inf. Syst., 2024

LogLLM: Log-based Anomaly Detection Using Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

MANSOR: A module alignment method based on neighbor information for scientific workflow.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2024

COMB: Interconnected Transformers-Based Autoencoder for Multi-Perspective Business Process Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2024

ProSwats: A Proxy-based Scientific Workflow Retrieval Approach by Bridging the Gap between Textual and Structural Semantics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2024

2023

AIMED: An automatic and incremental approach for business process model repair under concept drift.

[BibT_eX]

[DOI]

Inf. Syst., October, 2023

GRASPED: A GRU-AE Network Based Multi-Perspective Business Process Anomaly Detection Model.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2023

SWORTS: A Scientific Workflow Retrieval Approach by Learning Textual and Structural Semantics.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2023

When to Invoke a Prediction Service for Business Process Monitoring?

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2023

SWARM: A Scientific Workflow Fragments Recommendation Approach via Contrastive Learning and Semantic Matching.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

Plan, Generate and Match: Scientific Workflow Recommendation with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

Remaining Time Prediction for Collaborative Business Processes with Privacy Preservation.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

TGPPN: A Transformer and Graph Neural Network Based Point Process Network Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Wei Guan

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